Non-profit funding campaign management employing a predictive analytics intelligence platform

Abstract

A system for campaign management employing a high volume web search and predictive analytic capabilities has been devised. A campaign control module is used to accept commands, parameters, and data defining a fundraising campaign and use those commands to instruct operation of the system to maximize participation while maintaining the enthusiasm of participants to continue to support the cause though regular contact. Web searches retrieve participant contact, financial, and social media post information which is then predictively analyzed to maximize the impact of individualized messages sent and automatically maintain the integrity of each participant's data store record.

What is claimed is: 
     
         1 . A system for prospective participant action anticipation employing a predictive analytics intelligence platform comprising:
 a campaign control module stored in a memory of and operating on a processor of a computing device and configured to:
 employ commands, parameters, and data completely defining a campaign from a campaign agent with campaign definition authority; 
 use the campaign defining commands, parameters and data to control and coordinate the actions of other system modules to carry out their functions in the campaign; 
 use campaign defining commands, parameters and data to group participants based upon pre-defined participation characteristics to enhance participant goodwill, interest and expenditure towards both during and after the campaign; 
 maintain progress data on pre-determined facets of the campaign; and 
 direct maintenance of donor record data store record integrity; 
   a web search module stored in a memory of and operating on a processor of a computing device and configured to:
 retrieve plurality of contact information specific to campaign participants from a plurality of cloud sources both public and proprietary; 
 retrieve social media posts specific to campaign cause from a plurality of cloud sources both public and proprietary; and 
 retrieve participant life status information useful to personalizing the campaign message from a plurality of cloud sources both public and proprietary; 
   a predictive analytics module stored in a memory of and operating on a processor of a computing device and configured to:
 use social media posts retrieved by the web search module to predict the likelihood of the participant to participate and the level of connection the donor has to a fundraising cause; 
 use financial and life status data retrieved by the web search module to predict a monetary range likely to elicit a maximal participation level choice by the participant; and 
 use social media posts and contact information to predict the reliability of newly discovered contact address changes as part of function to maintain participant record data store record integrity; and 
 a user interface stored in a memory of and operating on a processor of a computing device and configured to: 
 accept commands, parameters and data from commands, parameters, and data completely defining a fundraising campaign from a campaign agent with campaign definition authority; 
 accept donor information participation pledge information and participation level information from a campaign bundler; 
 display goal information, pledged participation level information and participation levels already achieved in formats most useful to campaign agents and predesignated by campaign agents with campaign definition authority; and 
 receive peer-to-peer participant contact information from participants already enrolled in the campaign. 
   
     
     
         2 . A method for prospective participant action anticipation employing a predictive analytics intelligence platform comprising the steps of:
 a) receiving a campaign plan from a campaign agent with campaign definition authority into a central control module using a user interface;   b) implementing and coordinating the campaign plan throughout the system using the central control module;   c) retrieving participant contact information, income and lifestyle data and social media postings from both private and proprietary sources using a web search module;   d) determining reliable contact information, predictive level of interest in campaign cause, predictive participation level range or in-kind donation possibility using a predictive analytics module;   e) predicting the best participation evoking message for a participant using the predictive analysis module;   f) implementing a participant interest, goodwill and participation retention program using both the predictive analytics module and the central control module;   g) maintaining integrity of a participant record data store using the web search module, the predictive analytics module and the central control module;   h) displaying campaign progress in multiple predesignated formats using the user interface;   i) receiving peer to peer participant information from enrolled participants using the user interface.